Kevin A Smith
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Joshua B Tenenbaum
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Probabilistic models of physical reasoning
Integrating heuristic and simulation-based reasoning in intuitive physics
"Just In Time" representations for mental simulation in intuitive physics
Physion++: Evaluating physical scene understanding that requires online inference of different physical properties
Are deep neural networks SMARTer than second graders?
H-SAUR: Hypothesize, Simulate, Act, Update, and Repeat for understanding object articulations from interactions
Neural evidence that intuitive physics guides visual tracking and working memory
AGENT: A benchmark for core psychological reasoning
Meta-strategy learning in physical problem-solving: The effect of embodied experience
Physion: Evaluating physical prediction from vision in humans and machines
Unsupervised discovery of 3D physical objects from video
Data-efficient learning for complex and real-time physical problem solving using augmented simulation
Rapid trial-and-error learning with simulation supports flexible tool use and physical reasoning
Abstract strategy learning underlies flexible transfer in physical problem solving
The fine structure of surprise in intuitive physics: when, why, and how much?
Modeling expectation violation in intuitive physics with coarse probabilistic object representations
End-to-end differentiable physics for learning and control
Neurocomputational modeling of human physical scene understanding
Learning to act by integrating mental simulation and physical experiments
Differentiable physics and stable modes for tool-use and manipulation planning
Tiptoeing around it: Inference from absence in potentially offensive speech
Faulty towers: A hypothetical simulation model of physical support
Thinking inside the box: Motion prediction in contained spaces uses simulation
Physical predictions over time
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